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Training in progress epoch 70

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  1. README.md +8 -7
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,14 +14,14 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.0520
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- - Train Dice Coef: 0.8370
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- - Train Iou: 0.7355
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- - Validation Loss: 0.0446
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- - Validation Dice Coef: 0.8852
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- - Validation Iou: 0.7950
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  - Train Lr: 1e-10
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- - Epoch: 69
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  ## Model description
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@@ -117,6 +117,7 @@ The following hyperparameters were used during training:
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  | 0.0524 | 0.8461 | 0.7438 | 0.0452 | 0.8838 | 0.7928 | 1e-10 | 67 |
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  | 0.0523 | 0.8374 | 0.7361 | 0.0453 | 0.8849 | 0.7947 | 1e-10 | 68 |
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  | 0.0520 | 0.8370 | 0.7355 | 0.0446 | 0.8852 | 0.7950 | 1e-10 | 69 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.0522
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+ - Train Dice Coef: 0.8487
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+ - Train Iou: 0.7473
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+ - Validation Loss: 0.0455
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+ - Validation Dice Coef: 0.8835
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+ - Validation Iou: 0.7923
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  - Train Lr: 1e-10
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+ - Epoch: 70
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  ## Model description
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  | 0.0524 | 0.8461 | 0.7438 | 0.0452 | 0.8838 | 0.7928 | 1e-10 | 67 |
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  | 0.0523 | 0.8374 | 0.7361 | 0.0453 | 0.8849 | 0.7947 | 1e-10 | 68 |
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  | 0.0520 | 0.8370 | 0.7355 | 0.0446 | 0.8852 | 0.7950 | 1e-10 | 69 |
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+ | 0.0522 | 0.8487 | 0.7473 | 0.0455 | 0.8835 | 0.7923 | 1e-10 | 70 |
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  ### Framework versions
tf_model.h5 CHANGED
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